Review: Advances in computational intelligence-based print quality assessment and control in offset colour printing

Authors:
A. Verikas;J. Lundström;M. Bacauskiene;A. Gelzinis
Affiliations:
Intelligent Systems Laboratory, Halmstad University, Box 823, S 301 18 Halmstad, Sweden and Department of Electrical and Control Equipment, Kaunas University of Technology, Studentu 50, LT-51368 K ...;Intelligent Systems Laboratory, Halmstad University, Box 823, S 301 18 Halmstad, Sweden;Department of Electrical and Control Equipment, Kaunas University of Technology, Studentu 50, LT-51368 Kaunas, Lithuania;Department of Electrical and Control Equipment, Kaunas University of Technology, Studentu 50, LT-51368 Kaunas, Lithuania
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 11
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Abstract

Nowadays most of information processing steps in printing industry are highly automated, except the last one - print quality assessment and control. Usually quality assessment is a manual, tedious, and subjective procedure. This article presents a survey of non numerous developments in the field of computational intelligence-based print quality assessment and control in offset colour printing. Recent achievements in this area and advances in applied computational intelligence, expert and decision support systems lay good foundations for creating practical tools to automate the last step of the printing process.